Senior Executive - Data Management

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Product data management

- Verifies the accuracy and consistency of the data collected before encoding it in the information systems (Group Referential for Articles, ...).

- Analyzes the impact on other processes (sales forecasts, product deployment, marketing, ...) and coordinates actions if necessary.

- Ensures that data providers (Marketing, Technical Department, etc.) respect data processing procedures and report cases of incorrect data.

- Enters/updates data (item codes, considering homologations, managing assimilation, ...), ensuring that they comply and that the appropriate level of quality is maintained.

- Cleans up obsolete, unused, incorrect, or duplicate data.

- Optimizes the data of its perimeter to limit the number of references present in the Supply Chain processes (impact on stocks).

- Send the information necessary for the proper management of stocks in factory warehouses (storage instructions according to item codes).

- Identifies rejects (notably BESHEB and AL rejects) and manages the corrections in the information systems.

Quality of product data

- Controls data quality according to the defined framework (standards, instructions, quality rules, ...).

- Identifies the needs for the evolution of quality controls to improve the detection of non-quality.

Problem solving

- Analyzes operational problems and incidents.

- Manages resolutions and corrective actions.

Methods of work

- Applies the methods and practices necessary to manage the complete life cycle of product data from its creation to its complete cessation.

- Contributes to continuous improvement (processes, tools, organization, operating procedures, ...) to improve data management and quality (Progress Plan).

Technical Expertise

SQL Basic

MS EXCEL Advanced Level

MC Access Beginner/Advanced Level (Good to have)
Power BI (Good to have)

Recommended educational qualifications

- Graduate or post-graduate

Recommended years of experience

- 2 + years